The Prototype for the New Tool, Which Analyzes Big Data from Hundreds of Sources, Was Developed by CCICADA Researchers

Federal law enforcement agencies in cooperation with state and local law enforcement have arrested many child-sex traffickers in recent years. A data-analytics software tool developed by CCICADA is expected to strengthen law enforcement’s efforts to combat sex trafficking of children. Photo credit: FBI, Cross Country Operation IX

Federal and other law enforcement agencies have ramped up their fight against child sex trafficking thanks to a powerful new data analytics program based on a prototype developed by CCICADA researchers.

The software program analyzes millions of bits of data from Internet ads, social media and other sources, enabling law enforcement agencies across the country to quickly “see” traffickers and their victims in ways they could not before.

CCICADA is a university-based research consortium that uses advanced mathematics, big data analytics, and computer modeling to help solve homeland security problems.

Osborne was one of four panelists on the first day of the retreat who recounted how CCICADA’s research expertise, tools and methodologies have helped their agencies to better protect the safety and security of the American people.

Osborne and other homeland security officials at CCICADA’s Research Retreat said the value of data analytics to their agencies’ missions has exploded over the past six years, and that CCICADA’s data-analytics tools have helped them tremendously.

Osborne and the other panelists said the value of data analytics to their agencies’ missions has exploded over the past six years. Law enforcement agencies previously used (and many still do) a centuries-old technology to find and catch most criminals: the human eye.

For example, said Osborne, agents used to laboriously read hundreds of sex-for-hire Internet ads to find patterns and generate leads. Today, data from hundreds of sources is fed in multiple streams to centralized servers. The data arrives in the form of photos, videos, law enforcement records, news stories and, increasingly, Internet ads and conversations. Law enforcement agencies at every level contribute data. Facial recognition software is built into the program. As the data streams in, fast computers connect the dots in seconds and spit out results.

Knowing that new computer-based technologies could help it do a better job catching sex traffickers, Osborne’s unit, a division of the FBI, took its first steps in this direction in 2010. President Obama gave them support, declaring in a 2012 speech that efforts to combat human trafficking were a high priority. Along the way, Osborne met Dr. Eduard Hovy after hearing him speak in Los Angeles.

Another panelist, the US Coast Guard’s David Boyd, said CCICADA has also helped his agency become less predictable in it enforcement of the nation’s maritime laws and “reduce redundancies” so the Coast Guard can make better use of its scarce manpower and equipment resources.

NJ Transit’s Edward Bruce said he is working with CCICADA researchers to ramp up his agency’s police intelligence program by using computer-based data collection and analytics tools (similar to those used by the federal Violent Crimes Against Children program).

CCICADA retreat panelist Michael Tobia, DHS Science & Technology Program Officer, explains how he worked with CCICADA to apply its venue-security tools in real-world settings like sports stadiums and to create a FEMA-approved training guide for security officials and first responders. Photo credit: Christopher Biddle

Right now, NJ Transit police collect intelligence data from a variety of disconnected sources that are arranged like so many “stove pipes.” Connecting those sources of information, centralizing the flow of data, and “plugging them into a very smart analytics system” are key to the future success of his agency’s intelligence system, Bruce said.

Panelist Michael Tobia explored the work he has done with CCICADA in crowd management. The DHS program officer explained the difference between “crowd control,” which is how one responds to a riot or similar crisis, and “crowd management,” which involves the application of data analytics and computer modeling to simulate and anticipate crowd movements. This enables venue operators to plan for an emergency, such as the need to quickly evacuate fans at a sports stadium.

Inherently Dangerous

Tobia said a stadium the size of MetLife in the New Jersey Meadowlands, with 82,500 seats, “is inherently dangerous even without any bad guys coming to the stadium.”

He said he worked with CCICADA to develop a FEMA-approved training manual for first responders and a Best Practices in Anti-Terrorism Security for Sporting and Entertainment Venues Resource Guide, which the DHS has published on its website to guide owners and operators in developing and strengthening the anti-terrorism readiness of their large venues.

CCICADA and its research partners continue to investigate different ways in which data-analysis tools can be used make the nation’s law enforcement efforts more efficient and effective.